Get to know us

Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 175,000 companies globally, we are on a mission to create more prosperity in the world by accelerating high-stakes business decisions. We achieve this by delivering extremely intuitive and robust software products that help people make impactful decisions with less stress, higher quality, and shorter hours. Our key products include:

Ideals Virtual Data Room (VDR): A secure, cloud-based platform for sharing confidential documents during due diligence, fundraising, M&A, legal transactions, and other business-critical workflows.

Ideals Board: A platform for boards and executive teams to streamline governance and enhance decision-making in a fast, secure, and compliant way.

The role

We are looking for a Software Engineer, Backend (.NET) with AI skills who will play a key role in building and scaling secure, high-load VDR services, with the additional opportunity to apply AI patterns to product features.

Your success in this role will be measured first by strong backend fundamentals: reliability, performance, scalability, and maintainability, and second by your ability to enable AI features safely and efficiently, using reusable and well-architected components.

This is a hands-on engineering role within a mature product environment, where engineering quality, observability, and long-term architecture matter.

What you will do

BE Engineering:

• Design, develop, and operate production-grade .NET services

• Work with .NET Framework 4.7, .NET 8, ASP.NET, Web API, Entity Framework

• Design and optimize data models using MS SQL Server / PostgreSQL

• Build and run services in AWS, using Docker, Kubernetes, ArgoCD

• Ensure service reliability and performance through:

• Clear SLIs/SLOs and capacity planning

• Caching, retries, backoff strategies, circuit breakers

• Secure multi-tenant access control

• Own services end-to-end: design, implementation, deployment, monitoring, and support

• Contribute to architecture and design reviews

• Improve code quality through code reviews, refactoring, and best practices

AI Enablement:

• Integrate AI/LLM providers behind clean, provider-agnostic abstractions

• Implement retrieval-augmented generation (RAG): chunking, embeddings, vector search

• Build safe AI flows with: Context scoping and validation, “Cannot answer” scenarios, Prompt-injection defenses

• Add evaluation and observability: Offline and online quality metrics, Monitoring tied to product KPIs

• Create reusable AI components (libraries, middleware, templates) adopted by other teams

• Share knowledge on safe and scalable AI usage

What you bring

• Strong experience with C# / .NET in production environments

• Solid knowledge of ASP.NET, Web API, Entity Framework

• Experience with relational databases (MS SQL Server, PostgreSQL)

• Hands-on experience with AWS

• Experience with Docker, Kubernetes, CI/CD pipelines

• Understanding of distributed systems, performance tuning, and reliability patterns

• Experience working in cross-functional product teams

• Strong written and spoken English (B2 level or above)

AI Skills (strong advantage)

• Experience with retrieval & vector search (embeddings, chunking, hybrid search)

• Integration with LLM providers (Azure OpenAI, AWS Bedrock, or open-source models)

• Experience with: structured outputs, streaming responses, provider-agnostic AI abstractions

• Knowledge of AI guardrails & evaluation: output validation, quality metrics, safe usage patterns

• Ability and willingness to mentor peers in applied AI practices